He is best known for his work on agent-based, fundamentally driven models that focus on energy & commodities market dynamics to support risk-adjusted investments decisions in energy & commodities.

Vlasios obtained his BA in Economics from the Aristotle University of Thessaloniki (Greece) and his MSc and PhD from City University London (UK). He has published numerous articles in academic journals and professional magazines with a focus on energy policy, oil and gas markets, scenario analysis, agent-based models, applied econometrics, business forecasting and risk management. Vlasios is also co-Editor of the Oil and Gas Prospects SI at the Energy Policy Journal and co-Editor of the book Global Energy Policy and Security, published by Springer.

Vlasios also contributes to world-impacting events such as focused roundtable discussions organised by Chatham House and the Pacific Energy Summmit following the invitation by the US National Bureau of Asian Research. He led the policy report Investment opportunities in Greece: Oil, gas, electricity and renewables for KEPE (under the Ministry of Regional Development and Competitiveness) while contributing at the House of Commons Energy and Climate Change Select Committee inquiry The UK's Energy Supply: Security or Independence?

Frais & financement

Registration fee for participants is £2,500.Early bird discount 10% applicable until the end of April. Discounts for PhD students available upon request.

Category

Discount

B2B

10%

ESCP Europe Alumni

10%

Points clés

Development of flexible regression models to explore causal and predictive relationships

Development of visual analytics methods to synthesise data and make better informed decisions

Application of business analytics to managerial functions within an organisation such as quantitative risk analysis

Fundamentals of the R statistical programming language for business analytics

The computer workshops will use the R software for statistical computing and/or interactive visualisation tools. All required course materials will be distributed as the course progresses

Contenu

Learning OutcomesThis workshop will enhance your skills in business intelligence through the study of data by means of modern quantitative frameworks. You will also gain experience in business programming.

Pedagogical ApproachThe course is organised as a problem-based workshop whereby participants structure their learning activities in response to a specific real-world problem or task. As such, the course gives you the opportunity to develop both subject-specific and transferable skills. As a result of the problem-based learning approach, leading-edge modelling techniques are presented in an intuitive way with the minimum of theoretical statistics and mathematics.